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Have you ever wanted to share a large and confidential file with your colleagues or clients but can’t find the appropriate tools to do it? While there are plenty of online services that allow you to send/receive large files, the main concern is still the security issue.
Once you are logged in, the dashboard will show your recent activity. It will be blank if you are logged in for the first time.Sharing Files
To share a file, first go to the Files tab to upload your files. During the uploading process, you can define the expiry date of the file. After the expiry date, the link that you sent to your friends/clients will not work anymore.Receiving Files
Other than sharing files with others, you will also be given a sub-domain URL where you can share with others. People can then visit the site and drop file to your account.Adding Members
Another feature of TitanFile is that you can add members to your account (for premium account only). This is best suited if you have several people working on a project.
Damien Oh started writing tech articles since 2007 and has over 10 years of experience in the tech industry. He is proficient in Windows, Linux, Mac, Android and iOS, and worked as a part time WordPress Developer. He is currently the owner and Editor-in-Chief of Make Tech Easier.
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How to share large photo files [Google Drive, Dropbox]
In an age where data transfer is becoming faster and faster, sending large amounts of data can still pose a problem.
For example, a lot of you may want to know how you can send large photo files via the cloud in a fast and efficient manner.
To learn more about Cloud technologies, check out our Web & Cloud Hub.
For more fantastic and useful tutorials, visit our How-To page as well.
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Photos are a great way of preserving memories, and they are also important for work, especially if we’re talking about high-quality ones.
However, while storing a large photo file can be easy, sharing it with others can be especially troublesome, especially if you are doing it online via cloud hosting or storage services.
First, there is the problem of how much time it takes to upload and then download the file to and from the cloud.
Secondly, there’s always the matter of security when it comes to sharing data online.
That being said, we’ve constructed this step-by-step guide that will show you exactly how you can share large photo files via some of the most common cloud storage services.How can I share large photo files efficiently?
The best way to reduce the size of your photo file is via a file archiver, and we recommend you try out the best there is, namely WinZip.
Not only is WinZip incredibly good at archiving all types of data, but it gives you a wide variety of archive formats to choose from, depending on your taste.
The next step is to protect your data via encryption, and WinZip also happens to support encryption that it describes as being banking-level.
Next up it is time to take the archive and share it via either cloud or email.
This is yet another feature that WinZip shines att, as it allows direct integration with some of the most well-known cloud storage services, such as Google Drive and OneDrive.How can I send large photo files via email?
A great way of sending data via email is if your base program features email integration. This makes it so that you don’t have to open multiple programs in order to perform a single task.
Here’s how you can use WinZip to perform all of the tasks listed above with one simple command:
Download and install WinZip
Navigate to where the photo file is stored
In the next WinZip windows that appears, you will gain access to everything you need to perform all of the tasks described earlier in the article, including:
The ability to archive the file, and choosing in what format
The possibility of archiving the file
Choosing whether to save the new zip file on PC, send it to the Cloud, or export it via Email.
Note: In order to make use of this functionality, you need to have the desktop client of the Cloud service installed on your PC.
Additionally, in order to send the files via email, an email address needs to be provided and linked with WinZip.
By following these steps, you should now be able to send large photo files faster, and in a more secure way, all thanks to just one tool.
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While it often uses fairly complex algorithms, the goal of differential privacy is pretty simple: make sure that people whose data is collected have as much privacy as they would if the data had never been recorded. You should never be able to identify someone just by looking at a set of stored information about them.How Differential Privacy Works
Since data about us is being collected at an unprecedented rate and people are getting uncomfortable with it, the idea that your privacy can be mathematically proven is starting to look pretty good. Companies like Microsoft, Google, Apple, Facebook, and Uber have either implemented it in some form or are exploring their options, but even before big tech got interested, it was being used for things like sensitive research data, medical records, and even parts of the U.S. census.
It does this by adding noise, either to the stored data itself or to the results that get returned when someone queries it – messing up individual pieces of data but maintaining the overall shape. “Noise” is essentially irregularity, or unexplained variability, in data, and the goal here is to insert noise into individual data points while keeping overall measures like the mean, median, mode, and standard deviation close to where they were before.Simple Differential Privacy
Let’s imagine that you’ve been selected to participate in a groundbreaking social science study. Here’s the catch, though: some of the questions are going to be potentially embarrassing, incriminating, or otherwise inconvenient for you. Let’s just say you’d prefer not having anyone see your name next to a checkmark in the column labeled “Actually liked the last season of Game of Thrones.”
Luckily, the researchers have anonymized the study. Instead of names, you get a random number, but even then, people can use your responses and narrow it down to you.
That’s a problem that’s actually come up quite a bit in the real world, perhaps most famously when researchers were able to not only identify Netflix users but even find out about some of their political preferences. But what if we could rig that data, as well as our survey, so that no one reading the results could know for sure what each person said?Adding noise with coin flips
Here’s a technique we can use to both maintain your privacy and get results that, in aggregate, look like they would if everyone told the truth:
We won’t be looking at the coin, so we won’t know whether or not it told you to lie. All we know is that you had a 50% chance of telling the truth and a 50% chance of saying “Yes” or “No.”
Your answer is then recorded next to your name or ID number, but you now have plausible deniability. If someone accuses you of enjoying that last Game of Thrones season, you have a defense that is backed by the laws of probability: the coin flip made you say it.
The actual algorithms most tech companies are using for differential privacy are much more complex than this (two examples below), but the principle is the same. By making it unclear whether or not each response is actually valid, or even changing responses randomly, these algorithms can ensure that no matter how many queries someone sends to the database, they won’t be able to concretely identify anyone.
Not all databases treat this the same way, though. Some only apply the algorithms when the data is queried, meaning the data itself is still being stored in its original form somewhere. This obviously isn’t the ideal privacy scenario, but having differential privacy applied at any point is better than just pushing raw data out into the world.How is it being used? Apple
The Mean Count Sketch algorithm
used by Apple
for differential privacy
Apple uses differential privacy to mask individual user data before it’s ever submitted to them, using the logic that if a lot of people submit their data, the noise won’t have a significant impact on the aggregate data. They use a technique called “Count Mean Sketch,” which essentially means the information is encoded, random pieces are changed, and then the “inaccurate” version is decoded and sent to Apple for analysis. It informs things like their typing suggestions, lookup hints, and even the emojis that pop up when you type a word.Google
RAPPOR data flow from the project’s GitHub
Google’s first big foray into differential privacy was RAPPOR (Randomized Aggregatable Privacy-Preserving Ordinal Response), which runs the data through a filter and randomly changes pieces of it using a version of the coin-flip method described above. They initially used it to gather data on security issues in the Chrome browser and have since applied differential privacy elsewhere, like finding how busy a business is at any given time without revealing individual users’ activity. They’ve actually open-sourced this project, so there may be more applications popping up based on their work.Why isn’t all data being treated this way?
Differential privacy is currently a bit complex to implement and it comes with an accuracy tradeoff that can negatively impact critical data in some circumstances. A machine-learning algorithm using privatized data for sensitive medical research might make mistakes big enough to kill people, for example. Nonetheless, it’s already seeing real use in the tech world, and given increasing public awareness of data privacy, there’s a good chance that we’ll see mathematically-provable privacy being touted as a selling point in the future.
Image credits: RAPPOR data flow, Server-Side Algorithm for Hademard Mean Count Sketch, Dataset-survey R-MASS package, Tree of probabilities – flipping a coin
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2023 Lexus LC 500 and LC 500h receive modest updates and Android Auto
The 2023 Lexus LC 500 and LC 500h luxury-performance coupe are now equipped with modest performance updates. It’s now 22 pounds lighter than last year’s model, and it thankfully receives Android Auto along with standard Apple CarPlay and Amazon Alexa. Lexus refused to tinker with the LC’s glorious 5.0-liter V8 engine, but it gave the new model a lighter and fresher set of legs to improve handling, stability, and driving feel.
Now, the Lexus LC was never intended for track duty, and nor was it conceived to break lap records. Instead, the LC is a fabulous GT car with dollops of comfort and the muscle to back up it’s supercar-inspired styling. But the biggest news for the 2023 LC is reduced unsprung weight, so maybe less is more in this case.
The weight loss is courtesy of lighter suspension components. Lexus installed new aluminum lower suspension arms and hollow stabilizers to shave weight. It also replaced the old coil springs for a set of high-strength springs crafted from new lightweight material. Oddly enough, Lexus replaced the 21-inch rear wheels for a set of lighter rims, but only in the back of the car, which may have something to do with weight balancing.
Once the weight loss regimen was complete, Lexus shifted its efforts is recalibrating the suspension tuning. The goal was to provide a supple ride without disconnecting the driver from the road, so Lexus tinkered with the electric front shocks and lengthened the suspension stroke, optimized the bound stopper rigidity, and firmed up the rear stabilizers. According to Lexus, the changes were enough to enhance the front turn-in stability of the coupe while providing a linear steering feel.
If all of this sounds like the recipe for tuning a track-ready sports car, you’re right. But then again, the LC is not meant for track duty, but it’s clear Lexus was aiming for more athleticism without ruining the LC’s aristocratic road manners. There’s also a new vehicle stability control system for the LC 500 and LC 500h. The new system now has active cornering assist (ACA) that automatically applies braking pressure on the inner wheels when cornering.
Next, Lexus shifted its efforts to the standard 10-speed automatic gearbox. In the 2023 LC 500, the transmission’s new shift logic software allows the engine to cream further before shifting into the next gear. Meanwhile, the 2023 LC 500h will now execute downshifts in second gear (instead of third) when attacking fast, hairpin turns, allowing the hybrid coupe to rocket more aggressively like a true sports car.
The changes continue inside the car. New leather options include Circuit Red instead of the usual Rioja Red upholstery in the old car, but you can still have Black or Toasted Caramel upholstery if you don’t like red leather seats. There’s also a meatier steering wheel to further bolster the new LC’s athletic demeanor.
The 2023 Lexus LC 500 remains powered by a 5.0-liter V8 engine with 471-horsepower and 398 pound-feet of torque. With a revised 10-speed automatic gearbox and rear-wheel-drive, the LC can rocket to 60 mph in 4.4-seconds while still achieving a highway-rated 25 mpg.
Meanwhile, the 2023 Lexus LC 500h is equipped with a Multistage Hybrid System. It has a 3.5-liter V6 gasoline engine and two electric motors. With a combined output of 354 horsepower, the Lexus LC 500h is a technological showcase with a high-power battery pack and a revolutionary CVT transmission with four conventional gears.
Both the 2023 Lexus LC 500 and LC 500h are arriving at Lexus dealerships later this year. Pricing and other specifics will be announced at a later date. New paint colors for 2023 include Nori Green Pearl and Cadmium Orange.
DeskConnect is a file transfer app from the makers of Workflow. It allows you to easily share files between your iPhone, iPad and Mac. DeskConnect isn’t an app that will replace a service like Dropbox or even iCloud, because it was designed solely with file transfers in mind.
We reviewed the initial version of DeskConnect back in 2013. Since then, a lot has changed — iOS has gained inter-app communication via handy share extensions, iCloud Drive has made it easier to move and manipulate files across a variety of storage solutions, and AirDrop can now easily transfer files between iOS devices and Macs.
In 2023, where does a new version of DeskConnect fit in? Does AirDrop make it redundant? Have a look at our overview for the details.What it’s not
First of all, let me briefly touch on what DeskConnect is not. It is not a long term storage place for your files. DeskConnect temporarily stores files on its servers in order to transfer items between devices. After 30 days, files are permanently deleted.
Unlike AirDrop, where files are transferred locally, files are transmitted via the Internet to DeskConnect’s servers for temporary storage and retrieval. With this in mind, it’s obvious that you wouldn’t want to transfer anything that’s overly sensitive.DeskConnect 1.2
The main new feature in DeckConnect’s 1.2 update is the share extension that lets you quickly share items from other apps. For example, if I’m in the Twitter app, I can share tweets with other devices using the DeskConnect share extension.
Once the app’s share extension is selected, you’ll see all of the destinations that have DeskConnect installed. Destinations can include the Mac (with the help of a companion app), another iPhone, or an iPad. You’ll need to be logged in to your free DeskConnect account on each device in order to use sharing.
DeskConnect 1.2 also brings notification actions to the mix, making it quicker to act on received files. When you receive a new shared item on your iOS device, you can quickly copy items to the clipboard directly from Notification Center. This includes banners and Lock screen notifications as well.
3D Touch makes a brief appearance with the 1.2 update. Although there’s no Quick Action shortcuts available on the Home screen app icon, you can use 3D Touch to peek and pop at the shared contents found inside of the DeskConnect app.What can you share?
You can share all sorts of things with DeskConnect. You can send text files, photos, small videos, Safari links, and more. You can even send the contents of your clipboard directly to a destination of your choice.
The DeskConnect iOS app is specifically set up to allow you to quickly send photos, websites, clipboard contents, and iCloud Drive documents. You’ll find the four shortcuts for sending the mentioned files types conveniently located at the top of the DeskConnect interface.DeskConnect or AirDrop?
Why would you choose to use DeskConnect over something like AirDrop? Isn’t this why AirDrop was created?
When AirDrop works properly, it’s great, but if my Twitter timeline suggests anything, it’s that AirDrop doesn’t always work like it should. DeskConnect doesn’t rely on finicky Bluetooth connectivity, it just needs an Internet connection. As such, and because DeskConnect utilizes temporary storage, your destination device doesn’t even have to be online at the time that you share a file with it.
DeskConnect also has the ability to send items to all registered destinations at the same time. With AirDrop, you have to select individual destinations one by one.
The bottom line is that there is room for both technologies. There will be instances where using DeskConnect will make the most sense, and there will be occasions where it makes more sense to use AirDrop.Workflow integration
It should be no surprise that Workflow contains a Send via DeskConnect option in its list of available actions. This feature allows you to seamlessly integrate DeskConnect and its established destinations into your workflows. You can even choose to attach specific DeskConnect destinations to your workflows, or open the firehose and send to all destinations in one fell swoop.A Mac companion
Unlike the iOS version, there is no traditional app for DeskConnect on the Mac. Instead, the service relies on a companion app that stays running in the menu bar. This companion app lacks an OS X sharing extension, and lacks the easy-to-use UI present in the iOS version.
Instead, you’ll need to drag files that you wish to share to the DeskConnect menu bar icon. To be honest, this feels a little clunky; I would prefer if the app used OS X’s native share extensions instead. Hopefully this will come in a future version.A great update
DeskConnect 1.2 is a solid update that brings several useful new additions to the table. It also includes a brand new redesign, which makes the app’s look match its modern feature set.
You can find DeskConnect 1.2 on the App Store today for free. The Mac companion app can be downloaded from the Mac App Store. DeskConnect accounts are free as well, and can be set up via either app.
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Additive Secret Sharing is a method of sharing a secret among a group of participants in such a way that the secret can only be reconstructed if a certain number of participants come together and provide their shares. This technique is widely used in cryptography and secure multiparty computation. In this article, we will discuss the concept of Additive Secret Sharing and Share Proactivization and how they can be implemented using Python.Introduction to Additive Secret Sharing
Additive Secret Sharing is a technique that allows a group of participants to share a secret among themselves without revealing the secret to any individual participant. The secret is divided into a number of shares, and each participant receives one share. The secret can only be reconstructed if a certain number of participants come together and provide their shares. This technique is also known as threshold secret sharing.
The basic idea behind Additive Secret Sharing is that the secret is represented as a polynomial of degree (t-1) where t is the threshold. The polynomial is chosen such that its coefficients are random integers. Each participant is then given a point on the polynomial, which represents their share. The secret can be reconstructed by interpolating the polynomial using the points provided by the participants.
For example, let’s say that we have a secret S that we want to share among three participants, A, B, and C. We choose a polynomial of degree 2 with random coefficients. The polynomial is represented as S(x) = a0 + a1x + a2x^2. Each participant is then given a point on the polynomial (x, S(x)), where x is a unique value chosen for each participant.Participant A receives the point (1, S(1)) Participant B receives the point (2, S(2)) Participant C receives the point (3, S(3))
Now, if any two participants come together and provide their points, they can reconstruct the polynomial and hence the secret. However, if an individual participant comes with their point, they cannot reconstruct the secret.Implementing Additive Secret Sharing in Python
To implement Additive Secret Sharing in Python, we can use the Python library called “secretsharing” which provides an easy-to-use API for implementing threshold secret sharing. The library provides a function called “split_secret” that takes the secret, the number of shares, and the threshold as inputs and returns a list of shares.
Here is an example of how to use the “split_secret” function to share a secret among three participants −
from secretsharing import SecretSharer
In the above example, we have a secret “mysecret” that we want to share among three participants. We have set the threshold value to 2, which means that any two participants can reconstruct the secret. The “split_secret” function generates three shares and prints them.Reconstructing the Secret
To reconstruct the secret, we can use the “recover_secret” function provided by the “secretsharing” library. The function takes a list of shares as input and returns the secret. Here is an example of how to use the “recover_secret” function to reconstruct the secret −
In the above example, we have a list of shares that we want to use to reconstruct the secret. The “recover_secret” function takes the list of shares as input and returns the secret. In this example, the secret is “mysecret”.Introduction to Share Proactivization
Share Proactivization is a technique that allows a group of participants to proactively refresh their shares without revealing the secret. This technique is used in situations where the secret may need to be changed frequently, such as in the case of a shared password.
The basic idea behind Share Proactivization is that each participant generates a new share for the new secret and sends it to the others. The new shares are then combined to reconstruct the new secret. The old shares are discarded, and the new shares are used to reconstruct the new secret.Implementing Share Proactivization in Python
To implement Share Proactivization in Python, we can use the same “secretsharing” library that we used for Additive Secret Sharing. The library provides a function called “create_share” that takes the secret and a unique share ID as inputs and returns a new share for the secret.
Here is an example of how to use the “create_share” function to proactively refresh a share −
In the above example, we have a new secret “mynewsecret” that we want to share among three participants. We also have a share ID “1” which represents the participant who will generate a new share. The “create_share” function takes the new secret and share ID as inputs and returns a new share for the secret.
To reconstruct the new secret, we can use the same “recover_secret” function as before. However, this time, we will use the new shares generated by each participant.
In the above example, we have a list of new shares that we want to use to reconstruct the new secret. The “recover_secret” function takes the list of new shares as input and returns the new secret, which in this case is “mynewsecret”.Conclusion
Additive Secret Sharing and Share Proactivization are powerful techniques that can be used to secure the sharing of sensitive information among a group of participants. The “secretsharing” library in Python provides an easy-to-use API for implementing these techniques. By using the “split_secret” and “create_share” functions, we can easily implement Additive Secret Sharing and Share Proactivization respectively. And, by using the “recover_secret” function, we can easily reconstruct the secret or the new secret.
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